Triple
T5475512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic City Boardwalk |
E122941
|
entity |
| Predicate | lengthIncludingVentnor |
P63980
|
FINISHED |
| Object | approximately 5.5 miles |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 5.5 miles | Statement: [Atlantic City Boardwalk, lengthIncludingVentnor, approximately 5.5 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthIncludingVentnor Context triple: [Atlantic City Boardwalk, lengthIncludingVentnor, approximately 5.5 miles]
-
A.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
shorelineLength
Indicates the total measured extent of a land area’s boundary where it meets a body of water.
-
D.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
E.
lengthVariesBy
Indicates that the length of one entity changes or differs depending on another specified factor or condition.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923465c88190ad9c1b75b268f7ca |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.